Simon Günter

1.4k total citations
18 papers, 712 citations indexed

About

Simon Günter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Simon Günter has authored 18 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Mechanics. Recurrent topics in Simon Günter's work include Handwritten Text Recognition Techniques (9 papers), Image Retrieval and Classification Techniques (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Simon Günter is often cited by papers focused on Handwritten Text Recognition Techniques (9 papers), Image Retrieval and Classification Techniques (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Simon Günter collaborates with scholars based in Switzerland, Australia and Dominican Republic. Simon Günter's co-authors include Horst Bunke, Nicol N. Schraudolph, Jin Yu, S. V. N. Vishwanathan, Brian J. Parker, Justin Bedő and Jin Yu and has published in prestigious journals such as BMC Bioinformatics, Pattern Recognition and Journal of Machine Learning Research.

In The Last Decade

Simon Günter

18 papers receiving 649 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Simon Günter Switzerland	12	386	309	114	99	50	18	712
Steve Gunn United Kingdom	9	424 1.1×	275 0.9×	83 0.7×	73 0.7×	43 0.9×	20	843
S. Sundararajan India	6	569 1.5×	385 1.2×	51 0.4×	137 1.4×	25 0.5×	17	851
Francis R. Bach United States	10	319 0.8×	410 1.3×	166 1.5×	219 2.2×	99 2.0×	11	824
Pak-Ming Cheung Hong Kong	5	527 1.4×	456 1.5×	71 0.6×	47 0.5×	48 1.0×	5	819
Michael Mavroforakis Greece	11	366 0.9×	306 1.0×	52 0.5×	70 0.7×	32 0.6×	15	674
Purushottam Kar India	14	647 1.7×	311 1.0×	90 0.8×	145 1.5×	20 0.4×	32	1.0k
Simon Lacoste-Julien Canada	12	850 2.2×	430 1.4×	59 0.5×	45 0.5×	36 0.7×	33	1.2k
Dongpo Xu China	13	394 1.0×	199 0.6×	144 1.3×	176 1.8×	21 0.4×	60	814
Julia Neumann Germany	7	212 0.5×	148 0.5×	95 0.8×	65 0.7×	20 0.4×	14	417
Rong Ge United States	11	191 0.5×	144 0.5×	92 0.8×	178 1.8×	39 0.8×	28	579

Countries citing papers authored by Simon Günter

Since Specialization

Citations

This map shows the geographic impact of Simon Günter's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Günter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Günter more than expected).

Fields of papers citing papers by Simon Günter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Günter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Günter. The network helps show where Simon Günter may publish in the future.

Co-authorship network of co-authors of Simon Günter

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Günter. A scholar is included among the top collaborators of Simon Günter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simon Günter. Simon Günter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Yu, Jin, S. V. N. Vishwanathan, Simon Günter, & Nicol N. Schraudolph. (2010). A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning. Journal of Machine Learning Research. 11(39). 1145–1200. 51 indexed citations

Yu, Jin, S. V. N. Vishwanathan, Simon Günter, & Nicol N. Schraudolph. (2008). A quasi-Newton approach to non-smooth convex optimization. 1216–1223. 15 indexed citations

Günter, Simon, Nicol N. Schraudolph, & S. V. N. Vishwanathan. (2007). Fast Iterative Kernel Principal Component Analysis. Journal of Machine Learning Research. 8(66). 1893–1918. 75 indexed citations

Parker, Brian J., Simon Günter, & Justin Bedő. (2007). Stratification bias in low signal microarray studies. BMC Bioinformatics. 8(1). 326–326. 55 indexed citations

Schraudolph, Nicol N., Jin Yu, & Simon Günter. (2007). A stochastic quasi-Newton method for online convex optimization. ANU Open Research (Australian National University). 436–443. 155 indexed citations

Günter, Simon. (2004). Multiple Classifier Systems in Offline Cursive Handwriting Recognition. 4 indexed citations

Günter, Simon & Horst Bunke. (2004). Optimizing the number of states, training iterations and Gaussians in an HMM-based handwritten word recognizer. 1. 472–476. 39 indexed citations

Günter, Simon & Horst Bunke. (2004). Off-line cursive handwriting recognition using multiple classifier systems—on the influence of vocabulary, ensemble, and training set size. Optics and Lasers in Engineering. 43(3-5). 437–454. 8 indexed citations

Günter, Simon & Horst Bunke. (2004). HANDWRITTEN WORD RECOGNITION USING CLASSIFIER ENSEMBLES GENERATED FROM MULTIPLE PROTOTYPES. International Journal of Pattern Recognition and Artificial Intelligence. 18(5). 957–974. 2 indexed citations

10.

Günter, Simon & Horst Bunke. (2004). Combination of Three Classifiers with Different Architectures for Handwritten Word Recognition. 20. 63–68. 3 indexed citations

11.

Günter, Simon & Horst Bunke. (2004). HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian components. Pattern Recognition. 37(10). 2069–2079. 45 indexed citations

12.

Günter, Simon & Horst Bunke. (2004). MULTIPLE CLASSIFIER SYSTEMS IN OFFLINE HANDWRITTEN WORD RECOGNITION — ON THE INFLUENCE OF TRAINING SET AND VOCABULARY SIZE. International Journal of Pattern Recognition and Artificial Intelligence. 18(7). 1303–1320. 3 indexed citations

13.

Günter, Simon & Horst Bunke. (2004). Feature selection algorithms for the generation of multiple classifier systems and their application to handwritten word recognition. Pattern Recognition Letters. 25(11). 1323–1336. 34 indexed citations

14.

Günter, Simon & Horst Bunke. (2003). Creation of classifier ensembles for handwritten word recognition using feature selection algorithms. 183–188. 29 indexed citations

15.

Günter, Simon & Horst Bunke. (2003). A new combination scheme for HMM-based classifiers and its application to handwriting recognition. 2. 332–337. 11 indexed citations

16.

Günter, Simon & Horst Bunke. (2003). Validation indices for graph clustering. Pattern Recognition Letters. 24(8). 1107–1113. 89 indexed citations

17.

Günter, Simon & Horst Bunke. (2002). Self-organizing map for clustering in the graph domain. Pattern Recognition Letters. 23(4). 405–417. 66 indexed citations

18.

Bunke, Horst & Simon Günter. (2001). Weighted Mean of a Pair of Graphs. Computing. 67(3). 209–224. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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